Instructions to use ShynBui/comment_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/comment_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ShynBui/comment_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ShynBui/comment_classification") model = AutoModelForSequenceClassification.from_pretrained("ShynBui/comment_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from ShynBui/comment_classification: direct link, hf CLI and curl.
- Browser
- Download file 22 Bytes
-
https://huggingface.co/ShynBui/comment_classification/resolve/main/added_tokens.json
- Command line
-
hf download hf://ShynBui/comment_classification/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/ShynBui/comment_classification/resolve/main/added_tokens.json
22 Bytes
| { | |
| "<mask>": 64000 | |
| } | |